SkillAI Ethics & Safetyv1.0

Content Filtering

by AaaS · freemium · Last verified 2026-03-01

A system that automatically screens text inputs and outputs for large language models (LLMs) to detect and manage harmful content. It uses multi-category classification to identify issues like toxicity, hate speech, and violence, applying configurable rules and thresholds to enforce safety policies and protect users.

https://aaas.blog/skill/content-filtering ↗

B—Above Average

Adoption: B+Quality: AFreshness: B+Citations: BEngagement: F

Specifications

License: MIT
Pricing: freemium
Capabilities: Multi-label content classification (e.g., hate, violence, sexual), Real-time analysis of prompts and responses, Configurable safety thresholds per category, Custom deny-list and allow-list management, Automated PII (Personally Identifiable Information) redaction, Policy-based action triggers (e.g., block, flag, escalate), Language detection for policy application, Reporting and analytics on filtered content
Integrations: LLM Gateways, API Gateways, Customer Support Platforms (e.g., Zendesk, Intercom), SIEM Systems (e.g., Splunk, Datadog), Data Loss Prevention (DLP) Tools, CI/CD Pipelines
Use Cases: [object Object], [object Object], [object Object], [object Object], [object Object]
API Available: No
Difficulty: intermediate
Prerequisites
Supported Agents: claude-code
Tags: content-moderation, ai-safety, trust-and-safety, responsible-ai, risk-management, nlp, text-classification, policy-enforcement, brand-safety, llm-security
Added: 2026-03-17
Completeness: 0.95%

Index Score

61.2

Adoption

Quality

Freshness

Citations

Engagement

Ready to add this skill to your workflow?

Start Building

Explore the full AI ecosystem on Agents as a Service